Identification method and device for rail traffic conditions

Abstract

The invention discloses an identification method and device for rail traffic conditions. The identification method includes the steps that first image information shot by a short-focus camera and second image information shot by a long-focus camera are obtained; scanning information scanned through a laser radar in a preset distance in front of a running vehicle is obtained; based on the preset logical fusion rule, every piece of first image information, every piece of second image information and the scanning information are subjected to fusion logical analysis, and the abnormal condition inthe preset distance in front of the running vehicle is identified according to the analysis result, wherein the abnormal condition is the appearance of any one or multiple of traffic signal machines,barriers and rail turnouts. According to the identification method and device for the rail traffic conditions in the technical scheme, through long-short-focus combination and radar scanning, enough response time can be provided for a driver for the front condition, the delayed response risk is reduced, the safe protection effect is improved, and the accuracy of identifying the front road can be increased through short-focus images.

Description

technical field [0001] The invention belongs to the field of urban traffic, in particular to a method and device for identifying rail traffic conditions. Background technique [0002] With the rapid development of urban rail transit, the safety, reliability and efficient operation of the urban rail transit system are particularly critical. However, at present, the efficiency of manual driving is relatively low. There are many reasons for this, such as inexperienced drivers and excessive driving fatigue. These factors lead to relatively low safety and efficiency. Therefore, it is necessary to study the autonomous environment perception of trains. However, there are still many shortcomings in the current domestic train autonomous environment perception, especially in the collision avoidance system, which need to be improved, such as: low protection efficiency and so on. Contents of the invention [0003] The embodiment of the present invention provides a method for identify...

AI Technical Summary

Problems solved by technology

However, at present, the efficiency of manual driving is relatively low. There are many reasons for this, such as inexperienced drivers and excessive driving fatigue. These factors lead to relatively low safety and efficiency. Therefore, it is necessary to study the autonomous environment perception of trains.

However, at present, there are still many shortcomings in the autonomous environment perception of domestic trains, especially in the anti-collision system, which need to be improved, such as: low protection efficiency, etc.

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